When Holt-Winters is better than Machine Learning for Time Series Data

When Holt-Winters is better than Machine Learning for Time Series Data

Presented By Anais Dotis-Georgiou
Anais Dotis-Georgiou
Anais Dotis-Georgiou
Developer Advocate at InfluxData

Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

Presentation Description

Machine Learning is all the rage, but when does it make sense to use it for forecasting? How do statistical forecasting methods compare? In this presentation, Developer Advocate Anais Dotis-Georgiou will show you how the Holt-Winters forecasting algorithm works. Then we’ll use the HOLT_WINTERS() function with InfluxData to make our own time series forecast.

Presentation Curriculum

When Holt-Winters is better than Machine Learning for Time Series Data
49:09
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